This paper studies the issue of robust state estimation for coupled neural networks with
parameter uncertainty and randomly occurring distributed delays, where the polytopic model …

This paper investigates the issue of finite-time state estimation for coupled Markovian neural
networks subject to sensor nonlinearities, where the Markov chain with partially unknown …

This paper deals with the problem of state estimation for Markov jump neural networks with
random delays through redundant channels. First, a redundant channel is provided to …

In this paper, the robust state estimation problem is investigated for the complex-valued
neural networks involving parameter uncertainties, mixed time delays, as well as stochastic …

In this paper, the issue of robust distributed state estimation is investigated for Markov
coupled neural networks in the discrete-time domain. Fully considering network-induced …

This paper investigates the problem of state estimation for Markovian jump Hopfield neural
networks (MJHNNs) with discrete and distributed delays. The MJHNN model, whose neuron …

This article studies the problem of dissipativity-based asynchronous state estimation for a
class of discrete-time Markov jump neural networks subject to randomly occurring …

This paper investigates the problem of stochastic finite-time state estimation for a class of
uncertain discrete-time Markovian jump neural networks with time-varying delays. A state …

This paper is concerned with the exponential state estimation for Markovian jumping neural
networks with time-varying discrete and distributed delays. The parameters of the neural …

This paper studies the state estimator design for periodic neural networks, where stochastic
weight matrices B (k) and packet dropouts are considered. The stochastic variables, which …